Zhao et al. [1]} demonstrates that the hybrid Transformer-CNN architecture has a better performance in terms of both model capacity and computational complexity. Therefore, we use the Swin transformer block proposed in [2]} as part of the decoder. Specifically, three successive Swin Transformer blocks are utilized and concatenated to obtain features of different depths. It is worth noting that a skip connection between the encoder and decoder is added to prevent network degradation.
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